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TRIA-FoR: Transformative risk assessment and forest resilience using genomic tools for the Mountain Pine Beetle outbreak

Over the past two decades, mountain pine beetle (MPB) has killed more than 20 M hectares of mainly lodgepole pine forests in western Canada. In the wake of this MPB epidemic, decision makers seek reforestation strategies that increase forest resiliency to future outbreaks. Simultaneously, the uncertain risk that MPB poses to jack pine challenges decision […]

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POPCAN: Genetic improvement of poplar trees as a Canadian bioenergy feedstock

The global exploitation of petroleum reserves has enabled modern industrialization, but the depletion of hydrocarbon reserves presents a significant limitation to current raw material and energy supply. The Canadian Government has established a Renewable Fuels Strategy, which aims to reduce greenhouse gas (GHG) emissions by mandating an average 5% renewable fuel content in gasoline for

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AdaptTree: Assessing the adaptive portfolio of reforestation stocks for future climates

Climates are changing more rapidly than forests can adapt on their own. However, the tremendous genetic variation within widespread native tree species can be used to pre-adapt the hundreds of millions of trees planted each year in western Canada to climate change. Natural populations are locally adapted to temperature and moisture regimes, and they differ

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Support for a bioinformatics position for the NSERC TRIA Network

Bioinformatics straddles the disciplines of computer science, computational biology, genomics, and molecular biology. Thus, bioinformaticians require a relatively hard to find set of skills to effectively carry out the bioinformatics analyses. Over the past eight years, the TRIA Mountain Pine Beetle project has generated substantial genomic resources and genomic datasets. This project will conduct value-added

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SMarTForest: Spruce marker technologies for sustainable forestry

The SMarTForest project will develop tools to enhance forest health and productivity and to increase the value recovered from forest plantations. This project will leverage the power of genomics to develop diagnostic markers based on DNA, metabolites, and proteins to advance breeding in Canada’s major spruce species. Marker systems are aimed at identifying trees and

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Genomics-enhanced forecasting of lignocellulosic feedstock supply for bioenergy

Energy derived from renewable biological materials (i.e. bioenergy) offers a realistic means of reducing our dependence on fossil fuels. This project addresses an issue central to the sustainable production of bioenergy from renewable lignocellulose feedstock under conditions of changing environments. The proposed work seeks to remedy the current lack of accurate tools for reliable prediction

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Translating Mountain Pine Beetle genomics outputs into tools for forest protection and resiliency

During this current outbreak, mountain pine beetle (MPB) has killed pines across more than 15 million hectares in British Columbia and Alberta. MPB is poised to continue its relentless spread through the jack pine of Canada’s boreal forests. This team will investigate how MPB and pine genetic variation influences MPB spread – focusing on the

Translating Mountain Pine Beetle genomics outputs into tools for forest protection and resiliency Read More »

Mountain pine beetle epidemic

The current mountain pine beetle (MPB) epidemic in British Columbia is the largest bark beetle outbreak in recorded history. Despite the epidemic dimensions of the current MPB outbreak, very little is known about the molecular mechanisms and the population genomics of the interacting bark beetles, fungi, and trees. The proposed project will deliver advanced knowledge

Mountain pine beetle epidemic Read More »

Arborea II – genomics for molecular breeding in softwood trees

Spruce trees are the most widely used species in Canada’s forest plantations thus understanding its genomics is critical to improving tree growth and yield as well as wood properties, at the molecular level. Arborea II will create an inventory of the natural variability and expression of thousands of spruce genes. By identifying specific genes associated

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